Learn all the skills to become a Data Scientist & Build 500+ Artificial Intelligence Projects with source

What you'll learn
Machine Learning -[A -Z] Comprehensive Training with Step by step guidance
Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, SVM, Random Forest)
Unsupervised Learning - Clustering, K-Means clustering
Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded
Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
Deep Convolutional Generative Adversarial Networks (DCGAN)
Java Programming For Data Scientists
Python Programming Basics For Data Science
Algorithm Analysis For Data Scientists

Requirements
Computer & Internet Connection

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